Intelligent Systems and Control
The principal challenge of intelligent systems is based on an assumption that intelligence arises in the context of some distinguishable agent provided with sufficient knowledge to operate effectively in its environment. The key is knowledge and its articulation in a manner that allows knowledge to be exploited by an artificial agent. The Intelligent Systems and Control theme involves researchers from the Faculties of Science, Engineering, and Arts. Their work spans a wide range of ideas from the development of plausible theories of human cognition through to the engineering of complex adaptive, reactive, reality-augmented environments. The six main research areas are:
- software and database systems
- learning and reasoning
- intelligent environmental sensing, virtualized reality, and robotic systems
- control and optimization
- fuzzy and knowledge-based systems
- natural and cognitive sciences
The group also developed prototype intelligent systems such as applications in forestry, energy, health, and the Internet. Industrial applications include an automated computer process control system at Syncrude; a remote pipeline monitoring, control, and scheduling system at Enbridge; and optimization and robust operation of power systems at TransAlta.